fromHackernoon4 months agoPartitioning Large Messages and Normalizing Workloads Can Boost Your AWS CloudWatch Ingestion | HackerNoonArchitecture choices significantly impact performance in data ingestion systems.
Scalafrommedium.com3 months agoHow I Made My Apache Spark Jobs Schema-Agnostic ( Part-2 )Dynamic transformations enable flexible schema adaptations without code changes.Using schema metadata simplifies column management, renaming, and casting.
frommedium.com4 months agoSpark Scala Exercise 24: Error Handling and Logging in SparkBuild Safe, Auditable ETL PipelinesBuild a defensive Spark ETL pipeline to ensure robust data processing.Handle data issues like schema mismatches and corrupt records effectively.Implement custom logging and audit trails for better failure management.